A gradient-based approach for interference cancelation in systems with multiple Kinect cameras

Abstract

Microsoft Kinect cameras provide a fast and convenient way to acquire depth information. However, the interference problem of multiple Kinect cameras dramatically degrades the depth quality. In this paper, we study the interference problem and propose an interference cancelation approach based on the statistical properties of depth maps. The gradient values are investigated and propagated from the interference-free region to the interfered region. The gradient values are obtained based on the statistic gradient features of the depth maps and the optimal solution of depth values is derived with a least error criterion. Experiment results demonstrate that our proposed method can eliminate interference efficiently, and lead to better qualities of depth maps and rendered virtual views.